Literature DB >> 24533715

Pharmacogenetics-based warfarin dosing in children.

Anna-Karin Hamberg1, Mia Wadelius.   

Abstract

Clinical factors, demographic variables and variations in two genes, CYP2C9 and VKORC1, have been shown to contribute to the variability in warfarin dose requirements among adult patients. Less is known about their relative importance for dose variability in children. A few small studies have been reported, but the results have been conflicting, especially regarding the impact of genotypes. In this article, we critically review published pharmacogenetic-based prediction models for warfarin dosing in children, and present results from a head-to-head comparison of predictive performance in a distinct cohort of warfarin-treated children. Finally we discuss what properties a prediction model should have, and what knowledge gaps need to be filled, to improve warfarin therapy in children of all ages.

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Year:  2014        PMID: 24533715     DOI: 10.2217/pgs.14.8

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  4 in total

1.  A Bayesian decision support tool for efficient dose individualization of warfarin in adults and children.

Authors:  Anna-Karin Hamberg; Jacob Hellman; Jonny Dahlberg; E Niclas Jonsson; Mia Wadelius
Journal:  BMC Med Inform Decis Mak       Date:  2015-02-07       Impact factor: 2.796

Review 2.  Pharmacogenomics in Pediatric Patients: Towards Personalized Medicine.

Authors:  Hedy Maagdenberg; Susanne J H Vijverberg; Marc B Bierings; Bruce C Carleton; Hubertus G M Arets; Anthonius de Boer; Anke H Maitland-van der Zee
Journal:  Paediatr Drugs       Date:  2016-08       Impact factor: 3.022

Review 3.  Warfarin: The End or the End of One Size Fits All Therapy?

Authors:  Munir Pirmohamed
Journal:  J Pers Med       Date:  2018-06-28

Review 4.  Warfarin dosing algorithms: A systematic review.

Authors:  Innocent G Asiimwe; Eunice J Zhang; Rostam Osanlou; Andrea L Jorgensen; Munir Pirmohamed
Journal:  Br J Clin Pharmacol       Date:  2020-11-18       Impact factor: 4.335

  4 in total

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